lammu

lammu — CS2 Stats

FI76561198232331360[U:1:272065632]Steam profile ↗✓ No bans

4,604Tracked matches60%Win rate2020Tracked since
4,865Hours in CS
CSDB Rating6.7 SolidSupport
FaceitLevel 10 · 2,985 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,985 → 2,985
+2Tracked matches · now 4,604
0.0ppWin rate · 60.0% → 60.0%

Rating over time

Faceit ELO: 2,985 +0 5 Sept – 18 Sept · 2 observations
2,9852,985peak 2,9855 Sept18 Sept
2,985Highest Faceit ELO seen on CSDB
72Days played since 2024-10-15

Faceit ELO

  • At peak — 2,985
  • Next: 3,000 ELO at 3,000 — 15 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-05
  • Level 10 first seen 2026-09-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate49.4%50.9%
Shot accuracy14.7%13.7%
Kill/death ratio0.921.09
Match win rate49.2%48.4%

Share this profile

CSDB.GGlammuFACEITLevel 10 · 2,985 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,985csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim79
Positioning54
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY60–40Last 10060%Win rateLLWWWWLLWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +3.2pp headshot accuracy · +23ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 513ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 564ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 553ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim7.9
Utility7.2
Positioning5.4
Opening Duels3.7
Clutch3.6

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Flashes. 0.95 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 49% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.9
Positioning5.4
Utility7.2
Mechanics6.2
Opening Duels2.6
Win Impact8.3

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time565ms+25ms
first ⅓ avg 540ms → last ⅓ avg 565ms
Headshot accuracy21.9%+3.4%
first ⅓ avg 18.6% → last ⅓ avg 21.9%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.13Best match rating · 13–7 · anubis, 4 Jan →
52%Best headshot accuracy · 10–13 · dust2, 7 Sept →
344msFastest reaction time · 13–5 · nuke, 21 Oct →
13–2Biggest win · nuke, 19 Apr →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
8–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 79% over 14dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
nukeS2617–965%0.01
ancientB2110–1148%-0.02
mirageS1411–379%0.01
dust2D113–827%-0.03
anubisS107–370%0.02
infernoB105–550%-0.00
train—44–0100%0.03
vertigo—22–0100%0.06
cache—10–10%-0.08
overpass—11–0100%0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

205,077Lifetime kills
0.92K/D
8,262Matches
49.2%Match win rate · Top 50% of Level 10 players
49.4%Headshot %
14.7%Shot accuracy · Top 50% of Level 10 players
26,198MVPs
4,865Hours (in match)
10,249Bombs planted
2,797Bombs defused

Most-used weapons

AK-4785,929
AWP10,319
SG 5535,335
Knife5,106
FAMAS3,662

Lifetime map wins

13,938inferno
8,667nuke
8,130vertigo
6,258train
6,021dust2
642cbble
458office
456lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

4,569Matches
52%Win rate
1.14Avg K/D
75.9ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient45054%1.0515.5
Anubis37856%1.0615.5
Mirage29850%1.0814.6
Nuke24562%1.1215.3
Dust219044%0.9113.6
Inferno12047%0.8613.3
Vertigo5753%1.0615.5
Overpass5056%1.1417.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.1%Headshot accuracy
35.9%Accuracy (enemy spotted)
40.3%Spray accuracy
78.1%Counter-strafing
9.7°Preaim
560msReaction time
32.1%T opening success
48.6%CT opening success
0.95Enemies flashed / flash
12.2%Flash assists
12.73HE damage / grenade
9.12Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.0716% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0452%7 Sept →
cache9–13-0.0827%2 Sept →
nuke13–90.0522%2 Sept →
mirage13–3-0.0422%16 Aug →
mirage16–120.0112%15 Aug →
mirage13–100.0324%28 Jul →
ancient9–13-0.0513%23 Jul →
ancient10–13-0.0328%1 Jul →
dust213–11-0.0123%13 Jun →
ancient10–13-0.0114%10 May →
nuke6–13-0.0320%10 May →
nuke16–14-0.0515%29 Apr →
ancient10–13-0.0321%29 Apr →
mirage13–110.0220%29 Apr →
nuke10–130.0023%26 Apr →
ancient9–13-0.0330%26 Apr →
nuke13–20.0428%19 Apr →
ancient8–13-0.016%19 Apr →
mirage13–2-0.0729%19 Apr →
mirage13–70.0215%12 Apr →
nuke13–50.0428%8 Apr →
ancient13–5-0.0117%12 Mar →
ancient13–90.0315%22 Feb →
ancient13–7-0.0117%21 Feb →
anubis13–6-0.0615%20 Feb →
inferno13–7-0.0126%19 Feb →
anubis16–130.0930%18 Feb →
overpass13–90.0833%18 Feb →
dust29–13-0.0428%18 Feb →
inferno3–13-0.0310%18 Feb →
ancient13–110.0632%18 Feb →
mirage13–6-0.0119%16 Feb →
train13–3-0.0010%10 Jan →
nuke13–80.0022%10 Jan →
mirage13–11-0.0217%10 Jan →
nuke9–13-0.0110%5 Jan →
dust24–13-0.0819%23 Nov →
nuke9–130.0117%23 Nov →
ancient3–13-0.0820%22 Nov →
inferno13–8-0.0315%22 Nov →
nuke11–13-0.0323%22 Nov →
nuke13–60.0527%7 Nov →
mirage13–9-0.0524%29 Oct →
dust213–8-0.0415%26 Oct →
nuke13–5-0.0021%21 Oct →
nuke13–70.0219%4 Oct →
dust28–13-0.0214%3 Aug →
ancient9–130.0116%3 Aug →
inferno13–90.0931%3 Aug →
dust24–13-0.0318%2 Aug →
dust213–10-0.0521%2 Aug →
mirage13–30.0131%1 Aug →
inferno19–220.0212%24 Jul →
ancient13–80.0213%15 Jul →
nuke13–90.0719%4 Jun →
anubis13–20.0024%22 May →
anubis13–80.0112%21 May →
ancient13–11-0.0429%20 May →
dust214–160.0011%13 May →
nuke9–13-0.0318%13 May →
dust29–13-0.0311%27 Apr →
inferno13–6-0.0113%26 Apr →
train13–70.0213%13 Apr →
train13–50.0414%11 Apr →
nuke13–30.0620%6 Apr →
nuke6–13-0.0324%22 Mar →
nuke13–20.0927%22 Mar →
nuke8–13-0.0019%9 Mar →
inferno5–13-0.1017%8 Mar →
mirage13–70.1120%21 Feb →
anubis13–9-0.0322%9 Feb →
mirage7–130.0518%25 Jan →
train13–100.0624%25 Jan →
nuke16–130.1219%23 Jan →
mirage13–160.0820%23 Jan →
inferno7–13-0.0216%22 Jan →
ancient13–8-0.0723%21 Jan →
inferno13–70.0217%19 Jan →
nuke13–5-0.0225%17 Jan →
ancient13–11-0.0620%16 Jan →
anubis13–70.1314%4 Jan →
inferno11–130.0510%3 Jan →
nuke13–100.0212%21 Dec →
ancient13–80.0020%21 Dec →
anubis13–16-0.0411%21 Dec →
nuke8–130.0614%21 Dec →
vertigo13–90.0215%18 Dec →
anubis11–130.0124%18 Dec →
nuke13–11-0.0515%16 Dec →
ancient0–10-0.0825%13 Dec →
anubis13–70.0717%12 Dec →
nuke19–160.0019%8 Dec →
ancient9–13-0.0114%2 Dec →
dust211–13-0.0224%1 Dec →
mirage3–130.0116%29 Nov →
nuke13–10-0.0421%29 Nov →
ancient13–160.0921%26 Nov →
ancient13–10-0.0414%24 Nov →
anubis16–190.0132%31 Oct →
vertigo13–30.0917%15 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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